Assistant Professor - Cardiovascular Research

at  University of Minnesota

Required Qualifications:

• Strong programming skills in Python (or Perl) and R.
• Familiarity with data science and visualization libraries in R.
• Proven ability to work independently and collaboratively.
• Experience with communicating results and concepts with a diverse audience including molecular biologists and laboratory scientists.
• Excellent oral and written communication skills.
• Ph.D. with equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline.
• At least three years of experience in bioinformatics research.
• Quantitative training with good understanding of probability, statistics and optimization.
• Proven expertise in the implementation and testing of algorithms.
• Experience using publicly available bioinformatics/genomics tools and algorithms; web resources such as NCBI, EnsEMBL, and UCSC.

Preferred Qualifications:

• Familiarity with common NGS analysis tools (BWA/samtools/TopHat/Cufflinks/HTSeq/edgeR/DESeq2).
• Demonstrated ability to design and implement machine learning techniques and algorithms.
• Demonstrated expertise in the Linux computing environment.
• Excellent planning, organization and execution skills.
• Positive attitude and good interpersonal skills.
• Familiarity with parallel computing environment (MPI).
• Ability to prepare manuscripts for presentation and publication.

Description:
The Lillehei Heart Institute is a premier institute at the University of Minnesota-Minneapolis with state of the art technologies and core facilities focused on the molecular regulation of myogenesis, stem cell and regenerative biology. The candidate who will fill this position will develop novel bioinformatic and computational methods for understanding the dynamic gene regulations and lineage hierarchies during cardiac, endothelial and hematopoietic development. This position will be based on 100% research effort

Principle Duties & Responsibilities:

• Build the bioinformatics program in the Daniel Garry lab
• Experience supervising, training, mentoring, assigning work to students and/or research associates.
• Knowledgeable and ensures compliance with policies and procedures for research
• Participates in development of grant submissions.
• Develop or integrate novel statistical methods and algorithms for analyzing large-scale-omics data, including gene regulatory network inference, cell lineage reconstruction, multi-dimensional data integration and etc.
• Perform routine bioinformatics analysis such as RNA-seq analysis, microRNA target prediction
• Discuss with the laboratory members in bioinformatics analysis as needed.
• Maintaining an active role in research of the current trends in bioinformatics, and using new technologies to prototype future development.
• Prepares, writes and presents papers for publication
• Prepares, writes and submits grant proposals.

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your “My Job Applications” page and uploading documents in the “My Cover Letters and Attachments” section.
This position will remain open until filled.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
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Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America’s Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
About the U of M Medical School:
Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery.
The mission of the regional campus located in Duluth is to be a national leader in improving healthcare access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students’ education in Greater Minnesota and prepares them to become exceptional clinicians and leaders for rural and immigrant populations.
Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud

• Build the bioinformatics program in the Daniel Garry lab
• Experience supervising, training, mentoring, assigning work to students and/or research associates.
• Knowledgeable and ensures compliance with policies and procedures for research
• Participates in development of grant submissions.
• Develop or integrate novel statistical methods and algorithms for analyzing large-scale-omics data, including gene regulatory network inference, cell lineage reconstruction, multi-dimensional data integration and etc.
• Perform routine bioinformatics analysis such as RNA-seq analysis, microRNA target prediction
• Discuss with the laboratory members in bioinformatics analysis as needed.
• Maintaining an active role in research of the current trends in bioinformatics, and using new technologies to prototype future development.
• Prepares, writes and presents papers for publication
• Prepares, writes and submits grant proposals